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Scientific Dataset Records Schema Directionality Comparator
x402
Scientific Dataset Records Schema Directionality Comparator is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035301/call, status unknown (last checked 2026-10-16).
Compares closed export-field directionality between supplied scientific dataset records and a reference schema, reporting field-level mismatches.
Price / call$0.035301
Success—
StatusUnknown
How this service works
Compare closed export-field Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a field-level directionality comparison between the supplied 'before' and 'after' scientific dataset record sets, identifying closed export fields that are mismatched, missing, or inconsistent with the expected schema — without performing independent certification.
Example use cases
Dataset schema migration validation
“I'm migrating our public scientific dataset to a new schema version — can you compare the before and after record exports to check if any field directionality has changed or gone missing?”
Synthetic data export field audit
“We generated a synthetic dataset for testing and need to confirm its export fields match our expected schema directions — compare the before and after records using the synthetic data class with nonpersonal metadata only.”
Research data compliance check
“Before publishing our research dataset, can you verify that the export-field directionality in the current records is consistent with our reference schema, treating the data as public and flagging any mismatches?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/intel/scientific-dataset-records/schema-directionality?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to programmatically compare schema field directionality between two versions of scientific dataset records (before/after), specifically for public or synthetic data classes with nonpersonal metadata constraints. Prefer this over general schema diff tools when you need closed export-field analysis in a structured, API-driven workflow without independent certification.
Side effects
- 'before' array is empty or missing (minItems:1 required)
- 'after' or 'before' arrays exceed 32 items (maxItems:32)
- 'dataClass' not one of 'public' or 'synthetic'
- 'nonpersonalMetadata' not set to true (const:true required)
- Malformed JSON body returns 400-level error
- Service unavailable or payment not processed returns 402/5xx
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | array | |
| before | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean | |
| consumerAllowsExtraFields | boolean |
Tags
x402
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